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Home›Jobs›Workato›Senior Software Engineer (ML/AI services, Python)
Workato

About Workato

The integration platform for seamless workflow automation

🏢 Tech👥 1001+ employees📅 Founded 2013📍 Palo Alto, CA💰 $415m⭐ 4.1
B2BInternal toolsProductivityMachine LearningAutomationNo-Code

Key Highlights

  • Headquartered in Palo Alto, CA with 1,001+ employees
  • $415 million raised in Series D funding
  • Targeted at users with minimal technical experience
  • Supports diverse industries with automation solutions

Workato is a leading integration and workflow automation platform headquartered in Palo Alto, CA. With over 1,001 employees, the company has raised $415 million in Series D funding and serves a diverse range of customers, enabling them to automate processes and integrate applications seamlessly. Wor...

🎁 Benefits

Workato offers flexible working arrangements with a hybrid remote model, generous PTO, and employee stock options. Additional benefits include health ...

🌟 Culture

Workato fosters a culture of integration and collaboration, focusing on empowering users with minimal technical skills to streamline their workflows. ...

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Workato

Senior Software Engineer (ML/AI services, Python)

Workato • Barcelona, Spain; Madrid, Spain

Posted 3w agoSeniorMachine learning engineer📍 Barcelona📍 Madrid
Apply Now →

Skills & Technologies

Python

Overview

Workato is seeking a Senior Machine Learning Engineer to develop AI/ML services. You'll work with Python to enhance enterprise orchestration solutions. This role requires strong technical skills and experience in machine learning.

Job Description

Who you are

You have a strong background in machine learning and artificial intelligence, with a focus on developing scalable solutions that drive business value. Your expertise in Python allows you to build robust ML models and integrate them into existing systems seamlessly. You possess excellent communication skills, enabling you to convey complex technical concepts to both technical and non-technical stakeholders effectively. You thrive in a collaborative environment, taking initiative and contributing to team success while continuously seeking to improve processes and outcomes. Your analytical mindset drives you to stay current with the latest technologies and trends in the AI/ML space, ensuring that you bring innovative solutions to the table.

Desirable

Experience with cloud platforms and orchestration tools is a plus, as is familiarity with data integration and workflow automation. A passion for continuous learning and a proactive approach to problem-solving will set you apart in this role.

What you'll do

In this role, you will be responsible for designing and implementing machine learning models that enhance Workato's AI-powered platform. You will collaborate with cross-functional teams to identify opportunities for automation and optimization within enterprise workflows. Your work will involve analyzing large datasets to extract insights and improve model performance, ensuring that the solutions you develop are both effective and efficient. You will also participate in code reviews and contribute to the overall architecture of the ML systems, ensuring best practices are followed throughout the development process.

You will have the opportunity to mentor junior engineers, sharing your knowledge and expertise to help them grow in their careers. Additionally, you will stay engaged with the latest advancements in AI and machine learning, applying new techniques and methodologies to enhance the capabilities of Workato's offerings. Your contributions will directly impact the efficiency and agility of businesses globally, making a significant difference in how they operate.

What we offer

Workato fosters a flexible and trust-oriented culture that empowers employees to take ownership of their roles. You will enjoy a vibrant work environment with numerous benefits that promote both professional and personal well-being. The company is recognized for its rapid growth and innovation, providing you with the opportunity to be part of a leading enterprise in the technology space. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset just as much as technical skills.

Interested in this role?

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